Run
4591035

Run 4591035

Task 219 (Supervised Classification) electricity Uploaded 07-07-2017 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • openml-pimp openml-python Sklearn_0.18.1.
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.Conditiona lImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethres hold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classif ier=sklearn.svm.classes.SVC)(2)Automatically created scikit-learn flow.
sklearn.preprocessing.data.OneHotEncoder(6)_categorical_features[1]
sklearn.preprocessing.data.OneHotEncoder(6)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(6)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(6)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(6)_sparsefalse
openmlstudy14.preprocessing.ConditionalImputer(3)_axis0
openmlstudy14.preprocessing.ConditionalImputer(3)_categorical_features[1]
openmlstudy14.preprocessing.ConditionalImputer(3)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(3)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(3)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(3)_strategy"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(3)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(3)_verbose0
sklearn.feature_selection.variance_threshold.VarianceThreshold(5)_threshold0.0
sklearn.svm.classes.SVC(9)_C13.74764669424713
sklearn.svm.classes.SVC(9)_cache_size200
sklearn.svm.classes.SVC(9)_class_weightnull
sklearn.svm.classes.SVC(9)_coef00.17031790968548388
sklearn.svm.classes.SVC(9)_decision_function_shapenull
sklearn.svm.classes.SVC(9)_degree3
sklearn.svm.classes.SVC(9)_gamma0.9096861069295648
sklearn.svm.classes.SVC(9)_kernel"sigmoid"
sklearn.svm.classes.SVC(9)_max_iter-1
sklearn.svm.classes.SVC(9)_probabilitytrue
sklearn.svm.classes.SVC(9)_random_state11564
sklearn.svm.classes.SVC(9)_shrinkingtrue
sklearn.svm.classes.SVC(9)_tol0.00016612305074876213
sklearn.svm.classes.SVC(9)_verbosefalse

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.3988
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4204
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0004
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-475.0606
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4915
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4886
Cross-validation details (10-fold Crossvalidation)
Number of instances
45312
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.416
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5753
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.5753
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.006
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4989
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0094
Cross-validation details (10-fold Crossvalidation)